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Maya Text to Speech

fal-ai/maya/batch
Maya1 is a state-of-the-art speech model by Maya Research for expressive voice generation, built to capture real human emotion and precise voice design.
Inference
Commercial use
Schema
LLMs
PlaygroundAPI

About

Generate multiple speech outputs from batch of texts using Maya-1-Voice

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/maya/batch", {
  input: {},
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/maya/batch", {
  input: {},
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/maya/batch", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/maya/batch", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

texts list<string>* required

List of texts to synthesize into speech. You can embed emotion tags in each text using the format <emotion_name>.

prompts list<string>* required

List of voice descriptions for each text. Must match the length of texts list. Each describes the voice/character attributes.

temperature float

Sampling temperature for all generations. Default value: 0.4

top_p float

Nucleus sampling parameter for all generations. Default value: 0.9

max_tokens integer

Maximum SNAC tokens per generation. Default value: 2000

repetition_penalty float

Repetition penalty for all generations. Default value: 1.1

sample_rate SampleRateEnum

Output audio sample rate for all generations. 48 kHz provides higher quality, 24 kHz is faster. Default value: "48 kHz"

Possible enum values: 48 kHz, 24 kHz

output_format OutputFormatEnum

Output audio format for all generated speech files Default value: "wav"

Possible enum values: wav, mp3

{
  "temperature": 0.4,
  "top_p": 0.9,
  "max_tokens": 2000,
  "repetition_penalty": 1.1,
  "sample_rate": "48 kHz",
  "output_format": "wav"
}

Output#

audios list<File>* required

List of generated audio files

durations list<float>* required

Duration of each generated audio in seconds

sample_rate string* required

Sample rate of all generated audio files

total_generation_time float* required

Total time taken to generate all audio files in seconds

average_rtf float* required

Average real-time factor across all generations

{
  "audios": [
    {
      "url": "",
      "content_type": "image/png",
      "file_name": "z9RV14K95DvU.png",
      "file_size": 4404019
    }
  ],
  "sample_rate": "48 kHz",
  "total_generation_time": 5.7,
  "average_rtf": 0.15
}

Other types#

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

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